水中内分泌干扰物-壬基酚的去除研究进展

壬基酚是一种内分泌干扰物,主要来源于NPEO,能通过生物富集作用进入生物体内并造成危害。当前检测水样中壬基酚的主要方法是采用GC—MS,预处理采用固相萃取。研究表明自来水厂的常规处理工艺对于壬基酚的去除有限;而活性炭、有机蒙脱土吸附等物理方法,超声声化、电化学氧化、光分解等化学方法可有效降解水中的壬基酚。     

基于PLUS-InVEST模型的江西省生态系统碳储量时空演变与预测

土地利用变化是影响陆地生态系统碳储量变化的重要因素,研究土地利用变化与碳储量之间关系对优化区域土地利用结构,维持区域碳平衡可提供可靠的数据支撑.以江西省为例,分析1990~2020年土地利用变化,基于PLUS模型,结合自然发展情景、生态优先情景和经济发展情景设置,对2030年江西省土地利用格局进行模拟分析,运用InVEST模型测算1990~2020年及未来不同情景下江西省碳储量变化,利用空间自相关分析探索江西省不同情景下陆地生态系统碳储量时空变化特征,并提出相应的政策建议.结果表明:①1990~2020年江西省碳储量整体呈下降趋势,共减少4.58×10⁷ t.其中,水域和建设用地的面积增加,耕地、林地、草地及未利用地面积减少是导致碳储量减少的主要原因.②2030年江西省陆地生态系统碳储量在自然发展情景、生态优先情景和经济发展情景下分别为2.20×10⁹、2.24×10⁹和2.19×10⁹ t.③3种情景下的碳储量值在空间分布上具有相似性,碳储量高值区域在江西省北部、西北部及西部区域出现集聚,低值区域则在中部区域聚集.研究结果可为江西省未来国土空间规划,提升陆地生态系统碳储量提供数据支撑.     

Sustainability assessment in the Brazilian Amazon: the municipalities of the state of Amapá

Environment, Development and Sustainability - Although sustainability assessment is widely discussed at Brazil, in Brazilian Amazon its use is still little applied, considering this territory is...     

UV/微曝气联用工艺对内分泌干扰物BP的去除效果和影响因素

采用新型工艺UV/微曝气对水中内分泌干扰物4-叔丁基苯酚（BP）进行降解研究.结果表明,UV/微曝气是一种高级氧化法,可以有效去除水中BP;UV/微曝气联用工艺降解BP受本底TOC值、BP初始浓度值、UV光强以及溶液初始pH影响较大.随着TOC值的降低,BP降解速率k₁迅速增加;随着光强的增大,BP的降解速率呈线性增长;在189～410 μg/L浓度范围内,k₁随着BP浓度的增大而逐步增大,在410～971 μg/L浓度的范围内,k₁随着浓度的增大而逐步降低;pH 2.77～4.01范围内UV/微曝气对BP降解速率较大,pH 4.70～8.16范围内UV/微曝气对BP降解速率较低.     

利用海上测量光谱进行赤潮监测

利用太平洋东海岸加拿大温哥华海域56个观测站位现场实测的海洋表面光谱（400-800hm）反射率值和叶绿索、泥沙浓度资料，研究了赤潮发生时海面水体光谱反射率的变化趋势，以了解清洁水体与赤潮水体的不同特征。经过多组数据的比较分析，发现相对于清洁海水的海面光谱反射率，赤潮发生时海面光谱反射率曲线的荧光峰从685nm波长向710hm的红光波长位移；清洁海水海洋表面光谱反射率平均值在400-588nm之间比赤潮海水的平均反射率值大，在波长588nm处两值相交后，清洁海水的反射率值小于赤潮水体的反射率值，而在688nm处清洁海水和赤潮水体反射率值大小相等（大约为0．25），其后保持赤潮海水的反射率值在688—756nm之间一直高于清洁海水的平均反射率值。清洁海水和赤潮水体不同的荧光峰值以及不同的光谱反射率特征之间的差异，可以用于监测赤潮的最佳波段选择。     

机场鸟击事故灾害的生态防治

从生态学角度分析了机场鸟击事故灾害发生的根源和特点，概述了鸟击灾害的生态防治措施，包括主动性防治和被动性防治，以及计算机和信息技术的应用。指出鸟击灾害已经成为机场飞行安全的主要威胁之一；生态综合防治是机场鸟击事故灾害防治的根本手段。     

A contaminated site investigation: comparison of information gained from geophysical measurements and hydrogeological modeling

The investigation of contaminated sites is usually a long and expensive process. It is therefore desirable to use a combination of methodologies in an integrative approach that can reduce redundant information gathering. The objective of this study was to examine the usefulness of 2 non-intrusive exploration techniques in a contaminated site investigation. Borehole positioning based on geophysical measurements was compared to positioning based on the Bayesian expert system for flow-field modeling. The goal set at the field site was the assessment of the type and load of contaminants transported from the landfill site to the adjacent aquifer and the extent of leachate plumes within the groundwater. The two methods made different demands on information gathering and were found to be complementary. The geophysical approach focused attention on the waste compartments at the site and on mixing plumes in the adjacent aquifer but could not, without prior information, provided information on the flow field. The Bayesian approach to flow-field modeling determined areas of greatest model uncertainty at the model boundaries. The model highlighted areas of greatest uncertainty that might otherwise have been overlooked and provided information on the most likely mean direction of the leachate plumes. It was concluded that both methods contribute to a site investigation and should be used before additional drilling is carried out.     

动态条件下各形态内源磷释放动力学研究

实验在流量为3L/d,水通量变化率为1.17 L(水)/g(湿泥).d-1的动态条件下模拟自然条件下内源磷的释放过程,对内源磷的释放过程、形态变化以及释放速率进行考察。研究表明,内源磷释放可分为两个阶段:快速释放阶段,释放速率由铁磷释放决定;慢速释放阶段,释放速率由铁磷释放和钙磷释放共同决定。整个释放过程中内源磷形态分布有较大变化。动力学分析表明总内源磷释放在表观上符合4.5级动力学反应,铁磷释放在表观上符合5.4级动力学反应,钙磷释放在表观上符合一级动力学反应。     

Predicting Extinction Risk of Brazilian Atlantic Forest Angiosperms

Understanding how plant life history affects species vulnerability to anthropogenic disturbances and environmental change is a major ecological challenge. We examined how vegetation type, growth form, and geographic range size relate to extinction risk throughout the Brazilian Atlantic Forest domain. We used a database containing species‐level information of 6,929 angiosperms within 112 families and a molecular‐based working phylogeny. We used decision trees, standard regression, and phylogenetic regression to explore the relationships between species attributes and extinction risk. We found a significant phylogenetic signal in extinction risk. Vegetation type, growth form, and geographic range size were related to species extinction risk, but the effect of growth form was not evident after phylogeny was controlled for. Species restricted to either rocky outcrops or scrub vegetation on sandy coastal plains exhibited the highest extinction risk among vegetation types, a finding that supports the hypothesis that species adapted to resource‐limited environments are more vulnerable to extinction. Among growth forms, epiphytes were associated with the highest extinction risk in non‐phylogenetic regression models, followed by trees, whereas shrubs and climbers were associated with lower extinction risk. However, the higher extinction risk of epiphytes was not significant after correcting for phylogenetic relatedness. Our findings provide new indicators of extinction risk and insights into the mechanisms governing plant vulnerability to extinction in a highly diverse flora where human disturbances are both frequent and widespread. Predicción del Riesgo de Extinción de Angiospermas del Bosque Atlántico Brasileño     

Current Practice and Future Prospects for Social Data in Coastal and Ocean Planning

Coastal and ocean planning comprises a broad field of practice. The goals, political processes, and approaches applied to planning initiatives may vary widely. However, all planning processes ultimately require adequate information on both the biophysical and social attributes of a planning region. In coastal and ocean planning practice, there are well‐established methods to assess biophysical attributes; however, less is understood about the role and assessment of social data. We conducted the first global assessment of the incorporation of social data in coastal and ocean planning. We drew on a comprehensive review of planning initiatives and a survey of coastal and ocean practitioners. There was significantly more incorporation of social data in multiuse versus conservation‐oriented planning. Practitioners engaged a wide range of social data, including governance, economic, and cultural attributes of planning regions and human impacts data. Less attention was given to ecosystem services and social–ecological linkages, both of which could improve coastal and ocean planning practice. Although practitioners recognize the value of social data, little funding is devoted to its collection and incorporation in plans. Increased capacity and sophistication in acquiring critical social and ecological data for planning is necessary to develop plans for more resilient coastal and ocean ecosystems and communities. We suggest that improving social data monitoring, and in particular spatial social data, to complement biophysical data, is necessary for providing holistic information for decision‐support tools and other methods. Moving beyond people as impacts to people as beneficiaries, through ecosystem services assessments, holds much potential to better incorporate the tenets of ecosystem‐based management into coastal and ocean planning by providing targets for linked biodiversity conservation and human welfare outcomes. La Práctica Actual y los Prospectos Futuros para los Datos Sociales en la Planeación Costera y Oceánica